D. Rajaram
Impact in
-
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Computational Techniques and Applications
- Gaussian Processes and Bayesian Inference
- Coding theory and cryptography
Papers in
-
- Particle physics theoretical and experimental studies 3
- Particle Detector Development and Performance 2
- Dark Matter and Cosmic Phenomena 1
-
- Wireless Communication Networks Research 1
- Co-authors
- M. Huang (1 shared paper)N. Graf (1 shared paper)G. Aydın (1 shared paper)E. C. Dukes (1 shared paper)J. Martyniak (1 shared paper)T.S. Nigmanov (1 shared paper)T. Holmstrom (1 shared paper)K. S. Nelson (2 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Journal of Physics Conference Series (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
D. Rajaram
3 papers receiving 3 citations
Peers
Comparison fields: 5 of 6
- Geochemistry and Petrology 1
- Artificial Intelligence 3
- Computer Networks and Communications 2
- Nuclear and High Energy Physics 1
- Information Systems 1
Countries citing papers authored by D. Rajaram
This map shows the geographic impact of D. Rajaram's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Rajaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Rajaram more than expected).
Fields of papers citing papers by D. Rajaram
This network shows the impact of papers produced by D. Rajaram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Rajaram. The network helps show where D. Rajaram may publish in the future.
Co-authors
The 22 scholars most cited alongside D. Rajaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 1 | |
| 2 | 2008 | 1 | |
| 3 | MUON IONIZATION COOLING EXPERIMENT Step VI | 2013 | 1 |
| 4 | 2014 | 1 | |
| 5 | 1998 | 0 |
About D. Rajaram
D. Rajaram is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Mechanics of Materials, Electrical and Electronic Engineering and Biomedical Engineering, having authored 5 papers that have together received 4 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Muon and positron interactions and applications (1 paper), Advanced Wireless Network Optimization (1 paper), Superconducting Materials and Applications (1 paper), Advanced Wireless Communication Techniques (1 paper) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Geochemistry and Petrology (1 citation), Artificial Intelligence (3 citations), Computer Networks and Communications (2 citations), Nuclear and High Energy Physics (1 citation) and Information Systems (1 citation). D. Rajaram has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include M. Huang, N. Graf, G. Aydın, E. C. Dukes, J. Martyniak, T.S. Nigmanov, T. Holmstrom, K. S. Nelson, Y. O. Günaydin and H. Meyer. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series and AIP conference proceedings.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.